Adobe’s Brand Concierge, built on AEP, offers AI agents for personalised B2B and B2C customer journeys, automating content delivery and meeting scheduling to optimise sales.
Adobe’s AEP Agent Orchestrator introduces purpose-built AI agents for B2B customer engagement and internal workflow automation, streamlining processes and enhancing personalisation through data-driven orchestration.
Ready-made GenAI offers speed but limits customisation. Building in-house allows bespoke solutions but demands time and risk. AI platforms provide a hybrid path for rapid, tailored deployment.
Agentic AI has a functional application that you need to understand.
A critical analysis of AI trends, debunking vendor-driven myths and emphasising practical, business-oriented adoption strategies.
Simplified, cost-effective graph databases are driving AI innovation, enabling advanced applications like RAG and agentic AI.
Graph AI is finally here, and it promises to fix many of the problems in current retrieval, augmenting generation AI services and improving accuracy, context, and reasoning capabilities.
Algorithm selection is crucial for effective machine learning. This guide outlines key algorithms, their strengths, limitations, and practical business applications.
While agentic AI is grabbing the headlines, graph databases are quietly revolutionising AI applications with their ability to capture complex relationships.
